11. |
- Karlgren, Jussi, et al.
(author)
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Authorship profiling without using topical information : Notebook for PAN at CLEF 2018
- 2018
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In: CLEF 2018 Working Notes. - : CEUR-WS.
-
Conference paper (peer-reviewed)abstract
- This paper describes an experiment made for the PAN 2018 shared task on author profiling. The task is to distinguish female from male authors of microblog posts published on Twitter using no extraneous information except what is in the posts; this experiment focusses on using non-topical information from the posts, rather than gender differences in referential content.
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12. |
- Karlgren, Jussi, et al.
(author)
-
Evaluating learning language representations
- 2015
-
Conference paper (peer-reviewed)abstract
- Machine learning offers significant benefits for systems that process and understand natural language: (a) lower maintenance and upkeep costs than when using manually-constructed resources, (b) easier portability to new domains, tasks, or languages, and (c) robust and timely adaptation to situation-specific settings. However, the behaviour of an adaptive system is less predictable than when using an edited, stable resource, which makes quality control a continuous issue. This paper proposes an evaluation benchmark for measuring the quality, coverage, and stability of a natural language system as it learns word meaning. Inspired by existing tests for human vocabulary learning, we outline measures for the quality of semantic word representations, such as when learning word embeddings or other distributed representations. These measures highlight differences between the types of underlying learning processes as systems ingest progressively more data.
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13. |
- Karlgren, Jussi
(author)
-
Geoblockering lätt att kringgå
- 2015
-
Other publication (pop. science, debate, etc.)abstract
- Onsdag 6 maj förväntas EU-kommissionen presentera en handlingsplan för den digitala marknaden och en fråga som seglat upp för debatt är den om geoblockering, något som kommissionens vice ordförande Andrus Ansip tydligt har tagit ställning emot. Jussi Karlgren, professor i språkteknologi vid KTH, reder ut vad debatten handlar om.
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14. |
- Karlgren, Jussi, et al.
(author)
-
High-dimensional distributed semantic spaces for utterances
- 2019
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In: Natural Language Engineering. - : Cambridge University Press. - 1351-3249 .- 1469-8110. ; 25:4, s. 503-517
-
Journal article (peer-reviewed)abstract
- High-dimensional distributed semantic spaces have proven useful and effective for aggregating and processing visual, auditory and lexical information for many tasks related to human-generated data. Human language makes use of a large and varying number of features, lexical and constructional items as well as contextual and discourse-specific data of various types, which all interact to represent various aspects of communicative information. Some of these features are mostly local and useful for the organisation of, for example, argument structure of a predication; others are persistent over the course of a discourse and necessary for achieving a reasonable level of understanding of the content. This paper describes a model for high-dimensional representation for utterance and text-level data including features such as constructions or contextual data, based on a mathematically principled and behaviourally plausible approach to representing linguistic information. The implementation of the representation is a straightforward extension of Random Indexing models previously used for lexical linguistic items. The paper shows how the implementedmodel is able to represent a broad range of linguistic features in a common integral framework of fixed dimensionality, which is computationally habitable, and which is suitable as a bridge between symbolic representations such as dependency analysis and continuous representations used, for example, in classifiers or further machine-learning approaches. This is achieved with operations on vectors that constitute a powerful computational algebra, accompanied with an associative memory for the vectors. The paper provides a technical overview of the framework and a worked through implemented example of how it can be applied to various types of linguistic features.
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15. |
- Karlgren, Jussi
(author)
-
How Lexical Gold Standards Have Effects on the Usefulness of Text Analysis Tools for Digital Scholarship
- 2019
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In: Experimental IR Meets Multilinguality, Multimodality, and Interaction. - Cham : Springer. - 9783030285760 ; , s. 178-184
-
Conference paper (peer-reviewed)abstract
- This paper describes how the current lexical similarity and analogy gold standards are built to conform to certain ideas about what the models they are designed to evaluate are used for. Topical relevance has always been the most important target notion for information access tools and related language technology technologies, and while this has proven a useful starting point for much of what information technology is used for, it does not always align well with other uses to which technologies are being put, most notably use cases from digital scholarship in the humanities or social sciences. This paper argues for more systematic formulation of requirements from the digital humanities and social sciences and more explicit description of the assumptions underlying model design.
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16. |
- Karlgren, Jussi, et al.
(author)
-
Hyperdimensional utterance spaces
- 2018
-
In: CEUR Workshop Proceedings. - : CEUR-WS. ; , s. 29-35
-
Conference paper (peer-reviewed)abstract
- Human language has a large and varying number of features, both lexical items and constructions, which interact to represent various aspects of communicative information. High-dimensional semantic spaces have proven useful and effective for aggregating and processing lexical information for many language processing tasks. This paper describes a hyperdimensional processing model for language data, a straightforward extension of models previously used for words to handling utterance or text level information. A hyperdimensional model is able to represent a broad range of linguistic and extra-linguistic features in a common integral framework which is suitable as a bridge between symbolic and continuous representations, as an encoding scheme for symbolic information and as a basis for feature space exploration. This paper provides an overview of the framework and an example of how it is used in a pilot experiment.
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17. |
- Karlgren, Jussi
(author)
-
Regulation of Unpredictable Effects of Decision Making Systems is Non-trivial
- 2018
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In: 50 Years of Law and IT: The Swedish Law and Informatics Research Institute 1968-2018. - Stockholm : The Stockholm University Law Faculty. ; , s. 127-132
-
Book chapter (other academic/artistic)abstract
- Technical advances are rapidly delegating decision making in newarenas of human activity to information systems through theapplication of new classification mechanisms from machine learningresearch. How to manage technology-induced change and its effectsthrough legislative systems in order to encourage and supportbehaviour and activities which is desirable and beneficial to thepublic good and dissuade from such which is not is non-trivial. Ingeneral, legislation to cover new technical advances will be based onexisting technology and existing practice. This may seen reasonablebasis to build from and adds legitimacy to regulation and itsapplication, but regulation of technology too often stumbles at thebalancing line between under- standing and promoting future changeproductively and protecting past practice. This paper argues that morethought must be put into the aims of regulatory activities.
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18. |
- Karlsson, Vide, et al.
(author)
-
Evaluating Categorisation in Real Life : An argument against simple but impractical metrics
- 2016
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In: 7th CLEF Conference and Labs of the Evaluation Forum. - Cham : Springer. - 9783319445632
-
Conference paper (peer-reviewed)abstract
- Text categorisation in commercial application poses several limiting constraints on the technology solutions to be employed. This paper describes how a method with some potential improvements is eval- uated for practical purposes and argues for a richer and more expressive evaluation procedure. In this paper one such method is exemplified by a precision-recall matrix which sacrifices convenience for expressiveness.
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19. |
- Komendantova, Nadejda, et al.
(author)
-
Energy for the Future : Evaluating different electricity-generation technologies against selected performance characteristics and stakeholder preferences: Insights from the case study in Jordan
- 2018
-
Reports (other academic/artistic)abstract
- Currently, energy policy in Jordan is facing the challenge of having to cover the country’s electricity demand which is growing because of different factors, among them population growth, cooling of houses, desalination, large consumption centres and industry. The goal to provide reliable and affordable electricity includes diversification of electricity-generation sources from extensive reliance on fossil fuel imports to the generation of electricity from locally available resources, such as renewable energy sources but also nuclear energy and shale oil. Energy transition towards a more significant share of domestically generated resources will inevitably lead to a societal transformation in Jordan, which will affect interests of existing and emerging electricity-generation industries and other stakeholders. To be sustainable, such a transition should also address issues of environmental protection and its contribution to socio-economic development. Therefore, it is necessary to develop compromise solutions to mitigate the risk that differences in views about electricity-generation technologies needed for energy transition will turn into conflicting opinions. Also, energy transition should address not only national energy security targets, but it should also integrate interests of local communities in the vicinity of future electricity-generation and transmission infrastructure. This report is based on the assumption that human factors play an important role in energy transition. These human factors include perceptions of different risks connected with the use of certain technologies as well as views about benefits and impacts generated by different technologies. An innovative methodology was developed to address these views. This methodology allows us to assess the relevance of Jordan’s electricity-generation technologies, such as utility-scale photovoltaic (PV), concentrated solar power (CSP), onshore wind, utility-scale hydro-electric, bituminous coal, heavy fuel oil, shale oil and natural gas against a set of criteria, which reflect environmental, social and economic components of sustainable development. The results show that stakeholders prefer utility PV technology over all other technologies. The results also show that at the time of writing, the discourse in Jordanian society is dominated by economic rationality, such as electricity costs, supported by concerns about safety during operation and maintenance of electricity-generation power plans. The results also show a strong desire of all stakeholder groups for an opportunity to engage in decision-making processes on energy transition as the alternative of being simply compensated for the installation of electricity-generation and -transmission technologies does not appeal to local communities.
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20. |
- Murdock, V., et al.
(author)
-
Second Workshop on Search and Exploration of X-Rated Information (SEXI'16) : WSDM workshop summary
- 2016
-
In: WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450337168 ; , s. 697-698
-
Conference paper (peer-reviewed)abstract
- Adult content is pervasive on the web, has been a driving factor in the adoption of the Internet medium, and is responsible for a significant fraction of traffic and revenues, yet rarely attracts attention in research. The research questions surrounding adult content access behaviors are unique, and interesting and valuable research in this area can be done ethically. WSDM 2016 features a half day workshop on Search and Exploration of X-Rated Information (SEXI) for information access tasks related to adult content. While the scope of the workshop remains broad, special attention is devoted to the privacy and security issues surrounding adult content by inviting keynote speakers with extensive experience on these topics. The recent release of the personal data belonging to customers of the adult dating site Ashley Madison provides a timely context for the focus on privacy and security.
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